Triple

T14926790
Position Surface form Disambiguated ID Type / Status
Subject Jeremy Moore E372153 entity
Predicate familyName P18 FINISHED
Object Moore
Moore is a common English-language surname of Anglo-Norman and Irish origin borne by numerous notable individuals across various fields.
 E32614 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Moore | Statement: [Jeremy Moore, familyName, Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moore
Context triple: [Jeremy Moore, familyName, Moore]
  • A. Moore
    Moore is a major Gur language of Burkina Faso and surrounding regions, spoken primarily by the Mossi people.
  • B. Moore
    Moore is a character appearing in the film "Look at Me."
  • C. Moore
    Moore is the middle name of Edward M. Kennedy, the long-serving U.S. senator from Massachusetts and prominent member of the Kennedy political family.
  • D. Moore
    Moore is a small village and civil parish in the Borough of Halton in Cheshire, England.
  • E. Moore
    Moore is a given name that served as the middle name of Fred M. Vinson, the 13th Chief Justice of the United States.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Moore
Triple: [Jeremy Moore, familyName, Moore]
Generated description
Moore is a common English-language surname of Anglo-Norman and Irish origin borne by numerous notable individuals across various fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moore
Target entity description: Moore is a common English-language surname of Anglo-Norman and Irish origin borne by numerous notable individuals across various fields.
  • A. Moore chosen
    Moore is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
  • B. Moore
    Moore is the middle name of Edward M. Kennedy, the long-serving U.S. senator from Massachusetts and prominent member of the Kennedy political family.
  • C. Moore
    Moore is a given name that served as the middle name of Fred M. Vinson, the 13th Chief Justice of the United States.
  • D. Moore
    Moore is a suburban city in central Oklahoma, located just south of Oklahoma City and known for its history of devastating tornadoes.
  • E. Moore
    Moore is a major Gur language of Burkina Faso and surrounding regions, spoken primarily by the Mossi people.
  • F. None of above.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded633da0c8190b39f606212e48e71 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72c4f9c481909642efccb29f71d4 completed May 8, 2026, 11:33 p.m.
NEDg Description generation batch_69fe744b9c048190ae2a64da53d8ffac completed May 8, 2026, 11:39 p.m.
NED2 Entity disambiguation (via description) batch_69fe74d510808190a2379a2380fc327e completed May 8, 2026, 11:42 p.m.
Created at: April 10, 2026, 2:35 a.m.